Arxiv自动更新 @ 2023-10-22 16:07:15 Asia/Shanghai

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 # arxiv-daily
- 自动更新 @ 2023-10-21 16:06:57 Asia/Shanghai
+ 自动更新 @ 2023-10-22 16:07:15 Asia/Shanghai
 
 ## Group Recommendation
 
@@ -37,42 +37,6 @@
 |**2023-09-12 00:34:02**|**Distributionally-Informed Recommender System Evaluation**|Michael D. Ekstrand et.al.|[2309.05892v1](http://arxiv.org/abs/2309.05892v1)|null|
 |**2023-09-11 20:06:00**|**Enhancing Hyperedge Prediction with Context-Aware Self-Supervised   Learning**|Yunyong Ko et.al.|[2309.05798v1](http://arxiv.org/abs/2309.05798v1)|[link](https://github.com/yy-ko/cash)|
 
-## Graph Neural Network
-
-### GNN
-|Publish Date|Title|Author|PDF|Code|
-| :---: | :---: | :---: | :---: | :---: |
-|**2023-10-19 14:55:51**|**Exploring Graph Neural Networks for Indian Legal Judgment Prediction**|Mann Khatri et.al.|[2310.12800v1](http://arxiv.org/abs/2310.12800v1)|null|
-|**2023-10-19 08:41:21**|**Pretraining Language Models with Text-Attributed Heterogeneous Graphs**|Tao Zou et.al.|[2310.12580v1](http://arxiv.org/abs/2310.12580v1)|[link](https://github.com/hope-rita/thlm)|
-|**2023-10-19 08:18:10**|**Open-World Lifelong Graph Learning**|Marcel Hoffmann et.al.|[2310.12565v1](http://arxiv.org/abs/2310.12565v1)|[link](https://github.com/bobowner/open-world-lgl)|
-|**2023-10-19 08:07:22**|**DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial   Reasoning in Text**|Shuaiyi Li et.al.|[2310.12557v1](http://arxiv.org/abs/2310.12557v1)|[link](https://github.com/syon-li/depwignn)|
-|**2023-10-19 06:32:12**|**WeaveNet for Approximating Two-sided Matching Problems**|Shusaku Sone et.al.|[2310.12515v1](http://arxiv.org/abs/2310.12515v1)|null|
-|**2023-10-19 04:30:14**|**MuseGNN: Interpretable and Convergent Graph Neural Network Layers at   Scale**|Haitian Jiang et.al.|[2310.12457v1](http://arxiv.org/abs/2310.12457v1)|null|
-|**2023-10-19 01:41:11**|**Classification-Aided Robust Multiple Target Tracking Using Neural   Enhanced Message Passing**|Xianglong Bai et.al.|[2310.12407v1](http://arxiv.org/abs/2310.12407v1)|null|
-|**2023-10-19 01:15:24**|**Cooperative Minibatching in Graph Neural Networks**|Muhammed Fatih Balin et.al.|[2310.12403v1](http://arxiv.org/abs/2310.12403v1)|null|
-|**2023-10-18 21:51:42**|**Equipping Federated Graph Neural Networks with Structure-aware Group   Fairness**|Nan Cui et.al.|[2310.12350v1](http://arxiv.org/abs/2310.12350v1)|[link](https://github.com/yuening-lab/f2gnn)|
-|**2023-10-18 21:22:48**|**Parisi's hypercube, Fock-space fluxes, and the microscopics of   near-AdS$_2$/near-CFT$_1$ duality**|Micha Berkooz et.al.|[2310.12335v1](http://arxiv.org/abs/2310.12335v1)|null|
-|**2023-10-18 11:16:32**|**Building a Graph-based Deep Learning network model from captured traffic   traces**|Carlos Güemes-Palau et.al.|[2310.11889v1](http://arxiv.org/abs/2310.11889v1)|null|
-|**2023-10-18 09:31:21**|**Towards Graph Foundation Models: A Survey and Beyond**|Jiawei Liu et.al.|[2310.11829v1](http://arxiv.org/abs/2310.11829v1)|null|
-|**2023-10-18 09:21:37**|**IntentDial: An Intent Graph based Multi-Turn Dialogue System with   Reasoning Path Visualization**|Zengguang Hao et.al.|[2310.11818v1](http://arxiv.org/abs/2310.11818v1)|null|
-|**2023-10-18 08:27:09**|**NeuroCUT: A Neural Approach for Robust Graph Partitioning**|Rishi Shah et.al.|[2310.11787v1](http://arxiv.org/abs/2310.11787v1)|null|
-|**2023-10-18 07:39:05**|**A Quasi-Wasserstein Loss for Learning Graph Neural Networks**|Minjie Cheng et.al.|[2310.11762v2](http://arxiv.org/abs/2310.11762v2)|null|
-|**2023-10-18 05:59:41**|**Federated Heterogeneous Graph Neural Network for Privacy-preserving   Recommendation**|Bo Yan et.al.|[2310.11730v1](http://arxiv.org/abs/2310.11730v1)|null|
-|**2023-10-18 04:54:32**|**Learning Co-Speech Gesture for Multimodal Aphasia Type Detection**|Daeun Lee et.al.|[2310.11710v1](http://arxiv.org/abs/2310.11710v1)|[link](https://github.com/dsail-skku/multimodal-aphasia-type-detection_emnlp_2023)|
-|**2023-10-18 04:13:48**|**Architectural Implications of GNN Aggregation Programming Abstractions**|Yingjie Qi et.al.|[2310.12184v1](http://arxiv.org/abs/2310.12184v1)|null|
-|**2023-10-18 02:19:12**|**Hetero$^2$Net: Heterophily-aware Representation Learning on   Heterogenerous Graphs**|Jintang Li et.al.|[2310.11664v1](http://arxiv.org/abs/2310.11664v1)|null|
-|**2023-10-17 20:20:38**|**RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural   Networks Recommendations**|Camelia D. Brumar et.al.|[2310.11562v1](http://arxiv.org/abs/2310.11562v1)|null|
-|**2023-10-17 17:25:31**|**VcT: Visual change Transformer for Remote Sensing Image Change Detection**|Bo Jiang et.al.|[2310.11417v1](http://arxiv.org/abs/2310.11417v1)|[link](https://github.com/event-ahu/vct_remote_sensing_change_detection)|
-|**2023-10-17 15:40:26**|**Hybrid quantum-classical graph neural networks for tumor classification   in digital pathology**|Anupama Ray et.al.|[2310.11353v1](http://arxiv.org/abs/2310.11353v1)|null|
-|**2023-10-17 14:04:22**|**Self-supervision meets kernel graph neural models: From architecture to   augmentations**|Jiawang Dan et.al.|[2310.11281v1](http://arxiv.org/abs/2310.11281v1)|null|
-|**2023-10-17 13:42:32**|**Graph Neural Networks for Recommendation: Reproducibility, Graph   Topology, and Node Representation**|Daniele Malitesta et.al.|[2310.11270v2](http://arxiv.org/abs/2310.11270v2)|null|
-|**2023-10-17 11:28:30**|**Accurate prediction of international trade flows: Leveraging knowledge   graphs and their embeddings**|Diego Rincon-Yanez et.al.|[2310.11161v1](http://arxiv.org/abs/2310.11161v1)|null|
-|**2023-10-17 10:24:25**|**On the Temperature of Bayesian Graph Neural Networks for Conformal   Prediction**|Seohyeon Cha et.al.|[2310.11479v1](http://arxiv.org/abs/2310.11479v1)|null|
-|**2023-10-17 09:08:33**|**CSG: Curriculum Representation Learning for Signed Graph**|Zeyu Zhang et.al.|[2310.11083v1](http://arxiv.org/abs/2310.11083v1)|null|
-|**2023-10-17 09:06:41**|**Multi-omics Sampling-based Graph Transformer for Synthetic Lethality   Prediction**|Xusheng Zhao et.al.|[2310.11082v1](http://arxiv.org/abs/2310.11082v1)|null|
-|**2023-10-17 07:25:59**|**Fast Graph Condensation with Structure-based Neural Tangent Kernel**|Lin Wang et.al.|[2310.11046v1](http://arxiv.org/abs/2310.11046v1)|null|
-|**2023-10-17 07:18:03**|**Spoofing Attack Detection in the Physical Layer with Robustness to User   Movement**|Daniel Romero et.al.|[2310.11043v1](http://arxiv.org/abs/2310.11043v1)|null|
-
 ## Multi Interest Recommendation
 
 ### Multi Interest
@@ -108,3 +72,39 @@
 |**2023-06-24 15:00:47**|**A clustering and graph deep learning-based framework for COVID-19 drug   repurposing**|Chaarvi Bansal et.al.|[2306.13995v1](http://arxiv.org/abs/2306.13995v1)|null|
 |**2023-06-16 05:46:27**|**M3PT: A Multi-Modal Model for POI Tagging**|Jingsong Yang et.al.|[2306.10079v1](http://arxiv.org/abs/2306.10079v1)|null|
 |**2023-06-12 15:00:58**|**Interpolating Item and User Fairness in Recommendation Systems**|Qinyi Chen et.al.|[2306.10050v1](http://arxiv.org/abs/2306.10050v1)|null|
+
+## Graph Neural Network
+
+### GNN
+|Publish Date|Title|Author|PDF|Code|
+| :---: | :---: | :---: | :---: | :---: |
+|**2023-10-19 14:55:51**|**Exploring Graph Neural Networks for Indian Legal Judgment Prediction**|Mann Khatri et.al.|[2310.12800v1](http://arxiv.org/abs/2310.12800v1)|null|
+|**2023-10-19 08:41:21**|**Pretraining Language Models with Text-Attributed Heterogeneous Graphs**|Tao Zou et.al.|[2310.12580v1](http://arxiv.org/abs/2310.12580v1)|[link](https://github.com/hope-rita/thlm)|
+|**2023-10-19 08:18:10**|**Open-World Lifelong Graph Learning**|Marcel Hoffmann et.al.|[2310.12565v1](http://arxiv.org/abs/2310.12565v1)|[link](https://github.com/bobowner/open-world-lgl)|
+|**2023-10-19 08:07:22**|**DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial   Reasoning in Text**|Shuaiyi Li et.al.|[2310.12557v1](http://arxiv.org/abs/2310.12557v1)|[link](https://github.com/syon-li/depwignn)|
+|**2023-10-19 06:32:12**|**WeaveNet for Approximating Two-sided Matching Problems**|Shusaku Sone et.al.|[2310.12515v1](http://arxiv.org/abs/2310.12515v1)|null|
+|**2023-10-19 04:30:14**|**MuseGNN: Interpretable and Convergent Graph Neural Network Layers at   Scale**|Haitian Jiang et.al.|[2310.12457v1](http://arxiv.org/abs/2310.12457v1)|null|
+|**2023-10-19 01:41:11**|**Classification-Aided Robust Multiple Target Tracking Using Neural   Enhanced Message Passing**|Xianglong Bai et.al.|[2310.12407v1](http://arxiv.org/abs/2310.12407v1)|null|
+|**2023-10-19 01:15:24**|**Cooperative Minibatching in Graph Neural Networks**|Muhammed Fatih Balin et.al.|[2310.12403v1](http://arxiv.org/abs/2310.12403v1)|null|
+|**2023-10-18 21:51:42**|**Equipping Federated Graph Neural Networks with Structure-aware Group   Fairness**|Nan Cui et.al.|[2310.12350v1](http://arxiv.org/abs/2310.12350v1)|[link](https://github.com/yuening-lab/f2gnn)|
+|**2023-10-18 21:22:48**|**Parisi's hypercube, Fock-space fluxes, and the microscopics of   near-AdS$_2$/near-CFT$_1$ duality**|Micha Berkooz et.al.|[2310.12335v1](http://arxiv.org/abs/2310.12335v1)|null|
+|**2023-10-18 11:16:32**|**Building a Graph-based Deep Learning network model from captured traffic   traces**|Carlos Güemes-Palau et.al.|[2310.11889v1](http://arxiv.org/abs/2310.11889v1)|null|
+|**2023-10-18 09:31:21**|**Towards Graph Foundation Models: A Survey and Beyond**|Jiawei Liu et.al.|[2310.11829v1](http://arxiv.org/abs/2310.11829v1)|null|
+|**2023-10-18 09:21:37**|**IntentDial: An Intent Graph based Multi-Turn Dialogue System with   Reasoning Path Visualization**|Zengguang Hao et.al.|[2310.11818v1](http://arxiv.org/abs/2310.11818v1)|null|
+|**2023-10-18 08:27:09**|**NeuroCUT: A Neural Approach for Robust Graph Partitioning**|Rishi Shah et.al.|[2310.11787v1](http://arxiv.org/abs/2310.11787v1)|null|
+|**2023-10-18 07:39:05**|**A Quasi-Wasserstein Loss for Learning Graph Neural Networks**|Minjie Cheng et.al.|[2310.11762v2](http://arxiv.org/abs/2310.11762v2)|null|
+|**2023-10-18 05:59:41**|**Federated Heterogeneous Graph Neural Network for Privacy-preserving   Recommendation**|Bo Yan et.al.|[2310.11730v1](http://arxiv.org/abs/2310.11730v1)|null|
+|**2023-10-18 04:54:32**|**Learning Co-Speech Gesture for Multimodal Aphasia Type Detection**|Daeun Lee et.al.|[2310.11710v1](http://arxiv.org/abs/2310.11710v1)|[link](https://github.com/dsail-skku/multimodal-aphasia-type-detection_emnlp_2023)|
+|**2023-10-18 04:13:48**|**Architectural Implications of GNN Aggregation Programming Abstractions**|Yingjie Qi et.al.|[2310.12184v1](http://arxiv.org/abs/2310.12184v1)|null|
+|**2023-10-18 02:19:12**|**Hetero$^2$Net: Heterophily-aware Representation Learning on   Heterogenerous Graphs**|Jintang Li et.al.|[2310.11664v1](http://arxiv.org/abs/2310.11664v1)|null|
+|**2023-10-17 20:20:38**|**RekomGNN: Visualizing, Contextualizing and Evaluating Graph Neural   Networks Recommendations**|Camelia D. Brumar et.al.|[2310.11562v1](http://arxiv.org/abs/2310.11562v1)|null|
+|**2023-10-17 17:25:31**|**VcT: Visual change Transformer for Remote Sensing Image Change Detection**|Bo Jiang et.al.|[2310.11417v1](http://arxiv.org/abs/2310.11417v1)|[link](https://github.com/event-ahu/vct_remote_sensing_change_detection)|
+|**2023-10-17 15:40:26**|**Hybrid quantum-classical graph neural networks for tumor classification   in digital pathology**|Anupama Ray et.al.|[2310.11353v1](http://arxiv.org/abs/2310.11353v1)|null|
+|**2023-10-17 14:04:22**|**Self-supervision meets kernel graph neural models: From architecture to   augmentations**|Jiawang Dan et.al.|[2310.11281v1](http://arxiv.org/abs/2310.11281v1)|null|
+|**2023-10-17 13:42:32**|**Graph Neural Networks for Recommendation: Reproducibility, Graph   Topology, and Node Representation**|Daniele Malitesta et.al.|[2310.11270v2](http://arxiv.org/abs/2310.11270v2)|null|
+|**2023-10-17 11:28:30**|**Accurate prediction of international trade flows: Leveraging knowledge   graphs and their embeddings**|Diego Rincon-Yanez et.al.|[2310.11161v1](http://arxiv.org/abs/2310.11161v1)|null|
+|**2023-10-17 10:24:25**|**On the Temperature of Bayesian Graph Neural Networks for Conformal   Prediction**|Seohyeon Cha et.al.|[2310.11479v1](http://arxiv.org/abs/2310.11479v1)|null|
+|**2023-10-17 09:08:33**|**CSG: Curriculum Representation Learning for Signed Graph**|Zeyu Zhang et.al.|[2310.11083v1](http://arxiv.org/abs/2310.11083v1)|null|
+|**2023-10-17 09:06:41**|**Multi-omics Sampling-based Graph Transformer for Synthetic Lethality   Prediction**|Xusheng Zhao et.al.|[2310.11082v1](http://arxiv.org/abs/2310.11082v1)|null|
+|**2023-10-17 07:25:59**|**Fast Graph Condensation with Structure-based Neural Tangent Kernel**|Lin Wang et.al.|[2310.11046v1](http://arxiv.org/abs/2310.11046v1)|null|
+|**2023-10-17 07:18:03**|**Spoofing Attack Detection in the Physical Layer with Robustness to User   Movement**|Daniel Romero et.al.|[2310.11043v1](http://arxiv.org/abs/2310.11043v1)|null|